Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

Explore how advances in accuracy, throughput and cost are making long-read sequencing more accessible at scale.

Stay up to date on the latest science with Brush Up Summaries. Article reviewed by Ninning Liu, PhD from the Wyss Institute at Harvard University. Similar to retail stores that use standardized ...

Haploid Technologies has developed a groundbreaking new technology that enables precise assignment of phase across multiple ...

Genetic material shed by tumors can be detected in the bloodstream three years prior to cancer diagnosis, according to a study led by investigators at the Ludwig Center at Johns Hopkins, Johns Hopkins ...